AI的商业实战化，是未来最值钱的资产

Core Viewpoint - Chinese small and medium-sized enterprises (SMEs) are facing unprecedented challenges, with average lifespans dropping below 3 years and operational costs skyrocketing, particularly in terms of traffic costs which have increased 30 times over the past decade [2][5]. Group 1: Challenges Faced by SMEs - The average lifespan of Chinese SMEs has fallen below 3 years, indicating a critical survival issue [2]. - The cost of traffic has surged 30 times in the last decade, significantly impacting operational viability [2]. - In the manufacturing sector, as employee numbers increase from 10 to 100, productivity per employee drops by 53%, while management costs as a percentage of total costs rise from 8% to 22% [3]. Group 2: The Role of AI in Business Transformation - AI is emerging as a key force in the ongoing business transformation, providing essential tools for SMEs to navigate challenges [6][17]. - The practical application of AI is considered the most valuable asset for future business success [7]. Group 3: Reasons for SMEs to Adopt AI - In business strategy, AI helps companies analyze complex industry trends and competitive landscapes, reducing reliance on past experiences [11]. - AI enhances customer value by shifting from a passive service model to a proactive prediction model based on detailed customer behavior analysis [12]. - For product innovation, AI uncovers user pain points and needs, moving away from subjective decision-making [13]. - In brand marketing, AI generates attractive content and enables precise advertising, optimizing marketing budgets for rapid brand growth [14]. - AI integrates online and offline data, optimizing inventory management, logistics, and service processes [15]. - AI frees employees from repetitive tasks, allowing them to focus on more creative and valuable work [16]. Group 4: AI Practical Workshops and Events - The "Chaos AI Business Practical National Tour" has been launched in four cities, providing entrepreneurs with hands-on AI business experiences [20][32]. - Each event features case studies and practical exercises, allowing participants to understand AI applications in various business contexts [32]. - The workshops emphasize deep collaboration and immediate output, helping participants develop actionable strategies tailored to their business needs [39].